datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cancer-knowledge-base
Cancer Knowledge Base — the open, verified oncology KB for RAG & LLM evaluation
The only open CC-BY-4.0 oncology knowledge base that combines:
110/110 trials cited with PMID + NCT + PubMed/ClinicalTrials.gov URLs, and 32 prognosis
rows linked to verified SEER 2016–2022 references — no LLM-synthetic dataset has this.
A provable 152-question MCQ benchmark — every answer derives from this KB's own structured
data and carries a citation + golden docs, so it is open-book verifiable… See the full description on the dataset page: https://huggingface.co/datasets/ranjithraj/cancer-knowledge-base.Cancer-Myth
Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
📃 Paper ｜ 📚 Cancer-Myth Data | 💻 Code ｜ 🌐 Website
⚡ Introduction
Cancer-Myth is an expert-verified dataset of 585 cancer-related questions that contain false presuppositions, designed to evaluate how well large language models (LLMs) handle misleading or incorrect assumptions in real patient queries. It highlights a key vulnerability in medical AI: even advanced… See the full description on the dataset page: https://huggingface.co/datasets/Cancer-Myth/Cancer-Myth.cancer-screening-evidence-reasoner
Cancer Screening Evidence Reasoner (AutoScientist Challenge)
Fine-tuning dataset for teaching a language model to answer cancer screening eligibility and evidence questions with exact, verifiable citations — not hedged guesses.
Motivation
Base models know screening guidelines roughly but invent citations and get exact statistics wrong. Every completion in this dataset is computed by a rule engine from verified USPSTF and SEER ground truth — not LLM-generated.… See the full description on the dataset page: https://huggingface.co/datasets/vnytht/cancer-screening-evidence-reasoner.Conversational-Cancer-Lung-Detection
Conversational Cancer Lung Detection Dataset
This dataset, Conversational Cancer Lung Detection, is a conversationally structured dataset derived from the original Lung Cancer Detection dataset by Jillani Soft Tech on Kaggle. It has been transformed to simulate medical records in a conversational format, enabling AI applications to interact in a question-answer style format about lung cancer detection.
Dataset Overview
The Conversational Cancer Lung Detection dataset… See the full description on the dataset page: https://huggingface.co/datasets/BrokenSoul/Conversational-Cancer-Lung-Detection.